<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e. the transformation from at-sensor radiances to at-surface radiances or reflectances. In this paper we present the different steps in the atmospheric correction process for APEX hyperspectral data as applied by the Central Data Processing Center (CDPC) at the Flemish Institute for Technological Research (VITO, Mol, Belgium). The MODerate resolution atmospheric TRANsmission program (MODTRAN) is used to determine the source of radiation and for applying the actual atmospheric correction. As part of the overall correction process, supporting algorithms are provided in order to derive MODTRAN configuration parameters and to account for specific effects, e.g. correction for adjacency effects, haze and shadow correction, and topographic BRDF correction. The methods and theory underlying these corrections and an example of an application are presented.</p></abstract>

Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e. the transformation from at-sensor radiances to at-surface radiances or reflectances. In this paper we present the different steps in the atmospheric correction process for APEX hyperspectral data as applied by the Central Data Processing Center (CDPC) at the Flemish Institute for Technological Research (VITO, Mol, Belgium). The MODerate resolution atmospheric TRANsmission program (MODTRAN) is used to determine the source of radiation and for applying the actual atmospheric correction. As part of the overall correction process, supporting algorithms are provided in order to derive MODTRAN configuration parameters and to account for specific effects, e.g. correction for adjacency effects, haze and shadow correction, and topographic BRDF correction. The methods and theory underlying these corrections and an example of an application are presented.

Atmospheric correction of APEX hyperspectral data

Flemish Institute for Technological Research (VITO NV), Belgium

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Atmospheric correction of APEX hyperspectral data"}

Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group...

Atmospheric correction of APEX hyperspectral data

Publicado en línea: 20 abr 2016

Páginas: 16 - 20

Recibido: 08 jun 2015

Aceptado: 07 oct 2015

DOI: https://doi.org/10.1515/mgrsd-2015-0022

Palabras clave
Hyperspectral, atmospheric correction, automatic workflow, reflectance, APEX, MODTRAN

© by Sindy Sterckx

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Atmospheric correction of APEX hyperspectral data

Publicado en línea: 20 abr 2016

Páginas: 16 - 20

Recibido: 08 jun 2015

Aceptado: 07 oct 2015

DOI: https://doi.org/10.1515/mgrsd-2015-0022

Palabras claveHyperspectral, atmospheric correction, automatic workflow, reflectance, APEX, MODTRAN

© by Sindy Sterckx

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Palabras clave
Hyperspectral, atmospheric correction, automatic workflow, reflectance, APEX, MODTRAN